Guide · Online ordering

How to choose an online ordering platform.

The short answer

No single platform fits every brand. POS-native ordering (Toast, Square) suits brands on one POS that want ordering bundled in. An ordering specialist (Olo) suits multi-brand, multi-POS enterprises that need deep integrations. And because agentic AI tools have cut the cost of building, a custom app or tool shaped to your operation and budget is now realistic for far more brands, often on top of a platform for the commodity parts. Menu management, integrations, data ownership and who maintains it decide the rest.

By Walter Colindres Updated

The three main options

POS-native orderingOrdering specialistBuilt for you
ExamplesToast, SquareOloYour own app, web ordering or tools, custom or on a platform's APIs
Fits bestBrands on one POS that want ordering, payments and the kitchen in one systemMulti-brand or franchised enterprises with several POS systems and many partnersBrands whose operation, menu or guest experience doesn't fit a template, at a budget that fits them
Guest experienceThe vendor's templates, with brandingTemplates or your own front endFully yours
What you needLittle: setup and menu upkeepAn integration and digital teamA small senior team to build it with AI tools, and an owner to maintain it
Watch forEveryone on the same POS; less room to differentiateIntegration effort across POS and partnersMaintenance, security and the POS and payment integrations

For scale: Olo reports more than 750 restaurant brands and more than 400 integration partners; it was taken private by Thoma Bravo in September 2025. Pricing models across all three kinds (bundled with a POS plan, a monthly add-on, per-order fees, a license, or a build cost plus upkeep) change often, so get current quotes rather than relying on comparison sites.

Off the shelf, or built for you?

Until recently, a custom ordering app only made sense for the largest brands, because building and maintaining one took a permanent team. Agentic AI tools have changed that math. A small, senior team can now build an ordering front end, a menu service or a loyalty feature shaped exactly to your operation, for far less than it used to cost. No platform fits every brand, and you no longer have to bend your operation to fit one.

In my experience, a SaaS platform gets you about 80% of the way to your goal. The last 20%, the part that makes your brand different, is where the cost piles up: custom work you pay the vendor for, workarounds your team maintains, and features you wait quarters for on someone else's roadmap. That last 20% is exactly what's now affordable to build yourself.

That doesn't make custom right for everyone. What you take on when you own it:

The right answer is often a mix: a platform for the commodity parts, and something built for you where your operation or guest experience is different. Design & Build is how I do that work.

Seven questions to answer before you choose

  1. How many POS systems are in your system? One POS across every store makes POS-native ordering simple. Franchisees on different POS systems point to an ordering layer that integrates with all of them.
  2. How much of the experience do you need to own? If your app is how you compete, templates will hold you back. If ordering just needs to work, they're a feature.
  3. Can you manage the menu at scale? Prices, availability, day parts, modifiers and promotions by store. At Sonic I built a Digital Menu Manager for exactly this; menu operations are where ordering platforms quietly succeed or fail.
  4. How do loyalty and offers connect? Offers should apply to the right items in one step, in the app, on the web and at the register. Redemption is where offers fail.
  5. Which channels do you need? App, web, kiosk, catering, third-party marketplaces, and now AI agents. Square restaurants can take orders from ChatGPT and Claude, and Square and Toast restaurants through Google Maps' Ask Maps.
  6. Who owns the guest data? You need order history, identity and consent in your own hands to run loyalty and measure anything.
  7. What does it cost to switch later? Ask how menus, guest accounts and stored payment methods move if you leave.

The mistake I see most

Choosing the platform before deciding what the guest experience has to do. The platform demo always looks good. Write down the jobs guests need done (find the item, customize it, apply the deal, pay, pick up) and test each vendor against them.

Questions people ask

Olo vs. Toast vs. Square: which is best for a restaurant brand?

None is best for everyone. POS-native ordering from Toast or Square suits brands on that one POS that want ordering bundled in. An ordering specialist like Olo suits multi-brand, multi-POS enterprises that need many integrations. And with agentic AI tools, something built for your operation and budget, custom or on a platform’s APIs, is now realistic for far more brands.

Should we build our own ordering system instead of buying one?

Maybe, and it’s a more realistic option than it used to be. Agentic AI tools have cut the cost of building custom ordering apps and tools, so you can fit the system to your operation and budget instead of the other way around. Keep card processing with a certified payment provider, budget for maintenance, and expect POS and delivery integrations to be the hard part. SaaS usually gets you about 80% of the way; the last 20% is where it gets expensive, and that’s the part worth building. Many brands do best with a mix: a platform for the commodity parts and custom where they’re different. Design & Build →

Do we need our own app, or is web ordering enough?

Web ordering covers occasional guests. An app earns its cost when you have frequent guests and a loyalty program worth keeping them in, because the app is where loyalty, offers and reorders work best.

Which ordering platforms support AI agent ordering?

As of October 2026, Square restaurants can take orders from ChatGPT and Claude, and Square and Toast restaurants can take orders through Google Maps’ Ask Maps. Check with any vendor what is live versus announced. AI ordering readiness →

Not sure where to start?

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